Relevant bibliographies by topics / Cognitive ability

Academic literature on the topic 'Cognitive ability'

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Published: 4 June 2021
Last updated: 20 February 2023

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Journal articles on the topic "Cognitive ability"

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von Stumm, Sophie. "Investment Trait, Activity Engagement, and Age: Independent Effects on Cognitive Ability." Journal of Aging Research 2012 (2012): 1–7. http://dx.doi.org/10.1155/2012/949837.

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In cognitive aging research, the “engagement hypothesis” suggests that the participation in cognitively demanding activities helps maintain better cognitive performance in later life. In differential psychology, the “investment” theory proclaims that age differences in cognition are influenced by personality traits that determine when, where, and how people invest their ability. Although both models follow similar theoretical rationales, they differ in their emphasis of behavior (i.e., activity engagement) versus predisposition (i.e., investment trait). The current study compared a cognitive activity engagement scale (i.e., frequency of participation) with an investment trait scale (i.e., need for cognition) and tested their relationship with age differences in cognition in 200 British adults. Age was negatively associated with fluid and positively with crystallized ability but had no relationship with need for cognition and activity engagement. Need for cognition was positively related to activity engagement and cognitive performance; activity engagement, however, was not associated with cognitive ability. Thus, age differences in cognitive ability were largely independent of engagement and investment.
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Portugal Barcellos, Leonardo, Ricardo Lopes Cardoso, and André Carlos Busanelli de Aquino. "AN ASSESSMENT OF PROFESSIONAL ACCOUNTANTS' COGNITIVE REFLECTION ABILITY." Advances in Scientific and Applied Accounting 9, no. 2 (August 31, 2016): 224–39. http://dx.doi.org/10.14392/asaa.2016090206.

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Pritchard, Duncan. "Cognitive ability and the extended cognition thesis." Synthese 175, S1 (March 12, 2010): 133–51. http://dx.doi.org/10.1007/s11229-010-9738-y.

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Saenz, Joseph L., Christopher R. Beam, and Elizabeth M. Zelinski. "The Association Between Spousal Education and Cognitive Ability Among Older Mexican Adults." Journals of Gerontology: Series B 75, no. 7 (January 24, 2020): e129-e140. http://dx.doi.org/10.1093/geronb/gbaa002.

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Abstract Objectives Education and cognition are closely associated, yet the role of spousal education is not well understood. We estimate the independent effects of own and spousal education on cognitive ability in late-life in Mexico, a developing country experiencing rapid aging. Method We analyzed 4,017 married dyads (age 50+) from the 2012 Mexican Health and Aging Study. Cognitive ability for married adults was a factor score from a single factor model. Using seemingly unrelated regression, we test whether spousal education influences older adults’ cognitive ability, whether associations are explained by couple-level socioeconomic position, health and health behaviors, and social support, and whether associations differed by gender. Results Education and cognitive ability were correlated within couples. Higher spousal education was associated with better cognitive ability. Associations between spousal education and cognitive ability were independent of own education, did not differ by gender, and remained significant even after adjustment for couple-level socioeconomic position, health and health behaviors, and perceived social support. Discussion In addition to own education, spousal education was associated with better cognitive ability, even at relatively low levels of education. We discuss the possibility that spousal education may improve cognition via transmission of knowledge and mutually reinforcing cognitively stimulating environments.
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Stankov, Lazar. "Conservatism and cognitive ability." Intelligence 37, no. 3 (May 2009): 294–304. http://dx.doi.org/10.1016/j.intell.2008.12.007.

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Bergman, Oscar, Tore Ellingsen, Magnus Johannesson, and Cicek Svensson. "Anchoring and cognitive ability." Economics Letters 107, no. 1 (April 2010): 66–68. http://dx.doi.org/10.1016/j.econlet.2009.12.028.

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Al-Heizan, Muhammad O., Gordon Giles, Timothy Wolf, and Dorothy Farrar Edwards. "Hierarchical Cognitive Contributions to Functional Cognitive Ability." American Journal of Occupational Therapy 72, no. 4_Supplement_1 (November 1, 2018): 7211500049p1. http://dx.doi.org/10.5014/ajot.2018.72s1-po6006.

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Zhao, Xiangyu. "The Influence of Shadow Education on Cognitive Ability and Non-Cognitive Ability." Modern Economy 10, no. 03 (2019): 945–61. http://dx.doi.org/10.4236/me.2019.103063.

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Lu, Kirsty, Jennifer M. Nicholas, Jessica D. Collins, Sarah-Naomi James, Thomas D. Parker, Christopher A. Lane, Ashvini Keshavan, et al. "Cognition at age 70." Neurology 93, no. 23 (October 30, 2019): e2144-e2156. http://dx.doi.org/10.1212/wnl.0000000000008534.

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ObjectiveTo investigate predictors of performance on a range of cognitive measures including the Preclinical Alzheimer Cognitive Composite (PACC) and test for associations between cognition and dementia biomarkers in Insight 46, a substudy of the Medical Research Council National Survey of Health and Development.MethodsA total of 502 individuals born in the same week in 1946 underwent cognitive assessment at age 69–71 years, including an adapted version of the PACC and a test of nonverbal reasoning. Performance was characterized with respect to sex, childhood cognitive ability, education, and socioeconomic position (SEP). In a subsample of 406 cognitively normal participants, associations were investigated between cognition and β-amyloid (Aβ) positivity (determined from Aβ-PET imaging), whole brain volumes, white matter hyperintensity volumes (WMHV), and APOE ε4.ResultsChildhood cognitive ability was strongly associated with cognitive scores including the PACC more than 60 years later, and there were independent effects of education and SEP. Sex differences were observed on every PACC subtest. In cognitively normal participants, Aβ positivity and WMHV were independently associated with lower PACC scores, and Aβ positivity was associated with poorer nonverbal reasoning. Aβ positivity and WMHV were not associated with sex, childhood cognitive ability, education, or SEP. Normative data for 339 cognitively normal Aβ-negative participants are provided.ConclusionsThis study adds to emerging evidence that subtle cognitive differences associated with Aβ deposition are detectable in older adults, at an age when dementia prevalence is very low. The independent associations of childhood cognitive ability, education, and SEP with cognitive performance at age 70 have implications for interpretation of cognitive data in later life.
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Brick Larkin, Gabriella, and Daniel D. Kurylo. "Perceptual Grouping and High-Order Cognitive Ability." Journal of Individual Differences 34, no. 3 (August 1, 2013): 153–58. http://dx.doi.org/10.1027/1614-0001/a000110.

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High-order cognitive functions require the integration of information across functionally related modules. This relationship suggests that cognitive ability is related to the efficiency and processing speed of basic integrative function. In order to examine individual differences for this relationship, we compared standardized tests of intelligence to visual perceptual grouping abilities, which represents a basic process of integration. Sixty participants discriminated perceived grouping of dot patterns based upon similarity in luminance. Psychophysical measurements were made of the functional limits and processing speed of grouping. We assessed cognitive abilities with the Wechsler Abbreviated Scale of Intelligence (WASI) and found that measures of grouping efficiency as well as speed varied considerably across subjects, indicating substantial individual differences at this relatively early level of visual processing. Faster grouping speed was associated with higher scores on all WASI subtests, whereas grouping ability, when not restricted by time, was associated only with the performance IQ components. These results demonstrate an association between a basic integrative function, in which cognitive and motoric factors were minimized, with measures of high-order cognition, which include both verbal and spatial cognitive components.
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Dissertations / Theses on the topic "Cognitive ability"

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Turic, Dragana. "Genetics of general cognitive ability." Thesis, Cardiff University, 2005. http://orca.cf.ac.uk/55617/.

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General cognitive ability (g) is a general mental ability to reason, solve problems, comprehend complex ideas, think abstractly, learn quickly and learn from experience. Currently used IQ tests are excellent predictors of g. Heritability estimates for g range between 0.30 and 0.75 making it one of the most heritable human behavioural traits. Many behavioural phenotypes, including g, can be described as complex traits. Inheritance of such traits is governed by a mixture of genetic and environmental factors. Genetic factors contributing to total variance in g are likely to be numerous and additive in nature. In order to identify some of the genetic loci contributing to the total variance in g two approaches were employed. First, a genome-wide association study and second, candidate gene study. Genome-wide association study involved testing 1847 microsatellite markers with an average spacing of 2cM. Markers were initially screened on "original" DNA samples. This was followed by testing all positive findings on an independent "replication" sample set. Only one marker, D4S2460, was significant when all the stages of the study were completed. Investigation of candidate genes involved testing of known Apolipoprotein E (ApoE) promoter polymorphisms and Calcium/calmodulin dependant protein kinase II alpha (CaMKII-a) polymorphisms identified in our laboratories through mutation detection techniques. None of the polymorphisms in either of the two genes showed statistically significant association with a general cognitive ability.
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(UPC), Universidad Peruana de Ciencias Aplicadas, Federico R. León, and León Andrés Burga. "How geography influences complex cognitive ability." Elsevier B.V, 2015. http://hdl.handle.net/10757/554348.

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federicorleone@gmail.com
Evolutionary explanations for geography's influence on complex cognitive ability (CCA) imply virtually immutable components of between-nation IQ differences. Their weight vis-à-vis the weight of situational components was evaluated through an analysis of a 194-country data set. Additive effects of absolute latitude (AL) and longitudinal distance from Homo sapiens' cradle (LDC) explain Northeastern Asian higher, Sub-Saharan African lower CCAs. AL exerts cognitive influence directly and through socioeconomic development and evolutionary genetics whereas LDC does through evolutionary genetics; however, this occurs differently in Africa-Near East- Europe and elsewhere. The findings are understood assuming supremacy of contemporary UVB radiation → hormonal and climatic → socioeconomic mediators of the AL–CCA linkage whose effects are moderated by heterogeneous genetic and cultural adaptations to radiation and climate. Geography's cognitive effects are dynamic and public-policy actions may modify them.
Funds for this researchwere provided by the Vicerrectorado de Investigación through the Research Center at Universidad San Ignacio de Loyola (USIL), Lima, Peru. We are indebted to Romain Wacziarg for making available to us the Spolaore- Wacziarg tables on genetic distance and Edvard Avilés for comments to an earlier version of the paper. FRL designed the study, drafted the manuscript, performed part of the analyses, and interpreted the findings. ABL performed the path analyses and approved the manuscript. The data set utilized in the research has been positioned at USIL's Repository and can be accessed through the following link: http://repositorio.usil.edu. pe/jspui/handle/123456789/1038.
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Kankkunen, Erika. "Cognitive ability and transitory productivity shocks." Thesis, Uppsala universitet, Nationalekonomiska institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-388373.

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People who live in rural areas in low-income countries not only live in poverty, they also have to deal with an extremely variable income. In the absence of a well-functioning credit market, these fluctuations can be costly for households. This study aims to provide knowledge to the cost of these fluctuations, more precisely the study aims to answer how transitory weather shocks in Kenya affect children´s cognitive ability. Where weather shocks are assumed to be aggregated shocks that temporarily change the productivity in districts. The result from the study shows that drought, which can be seen as a negative shock, decrease the cognitive ability of children 11 to 16. The effect is marginally significant at the 10 percent level. No significant effect on cognitive ability is found for children aged 6 to 10. The result for older children is robust to alternative specifications. The study does not show any conclusive evidence on different effects on how boys and girls are affected by droughts.
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Vartanian, Oshin. "Cognitive Disinhibition and Creativity." Fogler Library, University of Maine, 2002. http://www.library.umaine.edu/theses/pdf/VartanianO2002.pdf.

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Breaban, Adriana, de Kuilen Gijs van, and Charles N. Noussair. "Prudence, Emotional State, Personality, and Cognitive Ability." FRONTIERS MEDIA SA, 2016. http://hdl.handle.net/10150/621817.

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We report an experiment to consider the emotional correlates of prudent decision making. In the experiment, we present subjects with lotteries and measure their emotional response with facial recognition software. They then make binary choices between risky lotteries that distinguish prudent from imprudent individuals. They also perform tasks to measure their cognitive ability and a number of personality characteristics. We find that a more negative emotional state correlates with greater prudence. Higher cognitive ability and less conscientiousness is also associated with greater prudence.
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Keller, Markéta. "Systemic inflammation and late-life cognitive ability." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/21109.

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Objectives – Cognitive ageing is an inevitable part of human life. Research from disciplines such as epidemiology, medicine and neuroscience implicate a wide range of determinants in the pathophysiological processes that lead to clinical symptoms of neurodegeneration. Markers of systemic inflammation are postulated to play an important role in mechanisms underlying a neuro-pathological cascade, either directly, through neuro-inflammatory processes, or through the mediating effect of diseases that are associated with cognitive deficits, such as cardiovascular disease and variation and disruption to cerebral blood flow. This may be particularly important in people with type 2 diabetes, where the increased prevalence of vascular events and glycaemic upset along with elevated levels of various circulating biomarkers, have been implicated in accelerated cognitive decline. Increasingly, evidence suggests a contribution of vascular disease state in the development of Alzheimer’s disease in which inflammation could be a significant factor. Determining the direction of association between individual markers of inflammation and altered cognitive performance is important in order to understand the possible role of inflammation in the development of cognitive decline and to inform the development of preventive clinical interventions. Therefore investigating these risk factors in relation to the trajectory of age related cognitive decline is crucial; in this respect, longitudinal evidence, detecting change in cognitive performance over a defined period of time, is most appropriate. To date, the majority of evidence is inconclusive, predominantly due to methodological obstacles embedded in the prospective design of cognitive ageing studies and in the investigation of a complex disease state, such as insufficient follow up period and restricted cognitive assessment. Since associations reported from modelling late life cognitive change in epidemiological studies may be the result of confounding variables, such as gender, vascular risk factors/disease, education attainment and social status, investigating the causal nature of inflammatory mediators in cognitive decline, has proved more problematic. Additionally, even a casual association may be due to ‘reverse causation’. One method of unravelling such associations is through the use of genetic association, where the exposure variable of interest (such as genetic variants affecting plasma biomarker levels) is modelled against the outcome, thereby overcoming some of the problems of confounding and reverse causation inherent in non-genetic epidemiological studies. Aim – The primary aim of this thesis was to test for associations of baseline measures of acute-phase proteins (fibrinogen and C-reactive protein) and central pro-inflammatory cytokines (interleukin – 6 and tumour necrosis –α) with four-year change and estimated life-time change in cognitive ability in older people with type 2 diabetes. The second aim was to explore the association between fibrinogen-related SNPs (SNPs shown previously to be associated with altered plasma fibrinogen levels) and cognitive ability in the general population. Methods –Data from the Edinburgh Type 2 Diabetes Study (the ET2DS), a prospective epidemiological study of older people with type 2 diabetes were available, including that collected at a baseline clinic (2006-07) on 1066 participants, mean age 67.9 years (SD 4.2). For the present study, follow up cognitive assessment was carried out after four-years (2010-11) at which cognitive data was collected on 828 survivors. Cognitive ability at both time points was assessed using the same, comprehensive, seven neuropsychological tests battery, including measures of fluid as well as crystallised intelligence (vocabulary test). Principal component analysis was conducted to derive a general cognitive factor ‘g’ and a general inflammatory factor, derived from individual cognitive scores and from baseline measures of four inflammatory markers (fibrinogen and C-reactive protein, interleukin – 6 and tumour necrosis –α), respectively. Genotype and cognitive data were collected from seven, well-established population-based cohorts with clearly defined sampling frames and data collection procedures. Five cohorts comprised of community-dwelling elderly people, living in central Scotland (AAA Trial, n = 2061, EAS, n = 534; ET2DS, n = 1045; LBC 21, n = 517; LBC 36, n=1005) and two large were cohorts based in England (ELSA; n = 5458; and Whitehall II; n = 3400). In total, genotype and cognitive data were available for 14033 participants, age range between 60 to 80 years. In all studies cognition was assessed on three cognitive domains: memory, executive functioning and information processing. Compatibility of cognitive data allowed for calculation of a general cognitive factor ‘g’ that was comparable between all cohorts. The instrument variables consisted of 61 fibrinogen-related polymorphisms within 13 different loci. These were identified through a detailed literature search as well as through search of relevant, genetic databases. Results – in the ET2DS, the age and sex-adjusted analyses revealed statistically significant associations between raised plasma inflammatory markers and poorer ‘g’ at follow-up; this was observed for all biomarkers, with the strongest associations detected for IL-6 and the general inflammation factor (p values <0.001). These findings persisted in linear regression models of baseline biomarker levels with four-year cognitive change as well as estimated life-time change – here the general inflammatory factor and plasma IL-6 levels were the strongest predictors. Adjustment for conventional vascular risk factors and cardiovascular disease attenuated the associations of cognitive decline with fibrinogen, CRP and TNF-α; associations were largely attenuated in analyses assessing IL-6 and the general inflammation factor and tended to remain statistically significant. Meta-analysis was conducted in order to explore associations between pre-selected fibrinogen-related SNPs and impairment in general cognitive ability as indexed by ‘g’. The analysis identified five plasma fibrinogen-related SNPs that were significantly associated with impaired ‘g’ at the nominal threshold level of p < 0.05. These were: rs2070016 (FGB gene); rs2070016 (FGA gene); rs1800497 (ANKK1 gene); rs4251961 (IL1RN gene) and rs1130864 (CRP gene). Discussion – the results of the ET2DS indicate that in an elderly diabetic population, there is a significant relationship between baseline levels of circulating inflammatory markers and four-year cognitive change as well as estimated life-time cognitive decline. These associations were generally independent of common cardiovascular risk factors and events, suggesting a possible pathway where cytokine-induced activation of glial cells may be responsible for the consequent neuro-inflammatory processes resulting in declined cognitive ability. The lack of some associations may be due to a relatively short follow up period. The main strength of the ET2DS was the availability of prospective cognitive data, the large sample size and the use of a comprehensive cognitive battery, including a vocabulary test for crystallised intelligence and thus calculation of estimated life-time cognitive change. Genetic association analysis indicated a significant association between five preselected SNPs each located within different genes (in general, genes associated with inflammation), and impaired general cognitive ability. This provides some support for a causal role of inflammation in age-related general cognitive impairment. One of the major strength was the use of a large dataset and the applied methodological approach. Meta-analysis was conducted on raw, prospectively generated data, allowing determination of the cognitive phenotype variable.
The main outcomes of this thesis suggest that systemic inflammation may indeed be involved in aetiology of age-related cognitive decline, possibly via neuro-inflammation. Further epidemiological investigation should involve a measurement of biomarkers trajectories in modelling cognitive change. Use of a stronger genetic instrument for inflammatory biomarkers, modeled against cognitive decline rather than cognitive ability as in the current study could further advance knowledge of the bio-pathological mechanisms underlying age-related cognitive decline. Results could ultimately inform subsequent investigations in the form of a randomised control trial, testing an evidence-based anti-inflammatory clinical intervention in diabetic populations as well as the general populations.
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Knarr, Abram J. "Do Peripheral HUD Warnings Affect Driving Ability?" Thesis, California State University, Long Beach, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10750884.

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Heads Up Display (HUD) technologies are being developed to assist drivers and reduce safety hazards. The current study used the Lane Change Task (LCT) and a Peripheral Detection Task (PDT) divided into high and low workload tracks to assess effects of employing a HUD to alert drivers to moving objects in their periphery that are possible hazards. The intent of the current study was to determine whether visual warnings displayed in either color, flashing, or color and flashing formats, would improve detection of moving stimuli without adversely impacting driving ability. Results indicated that the PDT had no significant effect on LCT performance. However, significant main effects of warning format and workload on reaction times, false alarm rates, and sensitivity were obtained. Performance on the PDT task was best when the warnings were non-flashing and yellow, especially in the low workload condition. Explanations of performance on both tasks are discussed.

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Withdrawn, Theodore Reremoana Farquharson. "Factors associated with cognitive ability in middle childhood." Thesis, University of Auckland, 2008. http://hdl.handle.net/2292/2378.

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There has been considerable debate among cognitive psychologists and epidemiologists regarding which determinants of children’s intelligence are most important. Factors such as children’s diet, maternal stress and social support are important for general health and wellbeing, but have received little research attention in longitudinal studies involving cognitive outcomes. Few studies have examined the determinants of intelligence in children born small-for-gestational age (SGA) at term even though these children may be particularly vulnerable to poorer postnatal environments. The aim of this study was to identify factors associated with cognitive ability in middle childhood in New Zealand (NZ) European children and children born SGA. The present research was conducted as part of the Auckland Birthweight Collaborative (ABC) study. Approximately half of the children in this study were born SGA (birthweight<10th percentile) and half were born appropriate-for-gestational age (AGA=birthweight>10th percentile). Information was collected from mothers and children on pregnancy, obstetric, socio-demographic, postnatal and dietary factors when the children were born (n=871), at one year (n=744), 3.5 years (n=550), and 7 years of age (n=591). Cognitive ability was assessed at 7 years using the Wechsler Intelligence Scale for Children – Third Edition. For the total sample, the analyses utilised weighting to allow for the disproportionate sampling of children born SGA. Results showed that SGA and AGA children did not differ in intelligence at 7 years. Factors associated with intelligence included maternal pregnancy factors (e.g. hypertension), socio-demographic factors (e.g. paternal education), and postnatal factors (e.g. maternal social support). In general, the effects of environmental factors did not differ significantly for SGA children compared with AGA children. A number of dietary factors were also found to be significantly and positively associated with intelligence measures including higher intakes of breads and cereals and weekly fish consumption. In contrast, daily margarine consumption was associated with significantly lower intelligence scores, particularly in SGA children, and this is the first study to report this association. iii Dietary and “environmental” factors were stronger predictors of children’s intelligence in middle childhood than “biological” factors, such as infant’s birthweight. Importantly, most of the factors associated with intelligence that were identified in this study are potentially modifiable. Further research is needed to examine whether these factors continue to be associated with cognitive ability in later childhood.
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Gray, Colette Helen. "Cognitive arithmetic & mathematical ability : a developmental perspective." Thesis, Queen's University Belfast, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337034.

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Carl, Noah. "Cognitive ability and socio-political beliefs and attitudes." Thesis, University of Oxford, 2017. https://ora.ox.ac.uk/objects/uuid:856fc58a-120f-4a51-a569-422e201e9f61.

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The contribution of this thesis is to demonstrate the importance of cognitive ability (and psychometric traits in general) for understanding the distribution of socio-political beliefs and attitudes within society. For at least the past hundred years, sociologists have sought to explain social phenomena primarily, or indeed exclusively, with reference to social structures that can be considered as external to the individual. While this explanatory paradigm has proved invaluable for understanding many social phenomena, it is not without theoretical deficiency. Certain phenomena can only be fully understood with reference to stable psychological differences between individuals--what psychometricians call individual differences. Toward this end, the present thesis addresses the following research questions. First, are generalized trust and political attitudes associated with cognitive ability? Second, what are the functional forms of any relationships between cognitive ability and socio-political beliefs and attitudes? Third, does cognitive ability explain variance in these traits over and above the effect of traditional sociological covariates, such as age, gender and socioeconomic status? Fourth, can psychometric differences between individuals help to explain one particular well-documented empirical regularity (of very large effect size), namely the fact that individuals with liberal and left-wing views are overrepresented in academia? The thesis comprises nine separate papers: the first two chapters examine generalized trust, while the subsequent seven focus on political attitudes. It concludes by summarising the main findings, discussing important limitations, and outlining avenues for further research.
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Books on the topic "Cognitive ability"

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Ree, Malcolm James. General cognitive ability predicts job performance. Brooks Air Force Base, Tex: Armstrong Laboratory, Air Force Systems Command, 1992.

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Schick, Andreas. Height as a proxy for cognitive and non-cognitive ability. Cambridge, MA: National Bureau of Economic Research, 2010.

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Kyllonen, Patrick C. Role of cognitive factors in the acquisition of cognitive skill. Brooks Air Force Base, Tex: Air Force Human Resources Laboratory, Air Force Systems Command, 1990.

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Cawley, John H. Cognitive ability and the rising return to education. Cambridge, MA: National Bureau of Economic Research, 1998.

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Zinchenko, V. P. Soznanie i tvorcheskiĭ akt. Moskva: I︠A︡zyki slavi︠a︡nskikh kulʹtur, 2010.

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Brown, Linda. TONI-3: A language-free measure of cognitive ability. Austin, Tex: Pro-Ed, 1997.

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Carlstedt, Berit. Cognitive abilities: Aspects of structure, process, and measurement. Göteborg, Sweden: Acta Universitatis Gothoburgensis, 2000.

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Assessment of children: Cognitive foundations. 5th ed. San Diego: J.M. Sattler, 2008.

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Clinical interpretation of the Woodcock-Johnson Tests of Cognitive Ability. Orlando, Fla: Grune & Stratton, 1986.

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Bonin, Patrick. Production verbale de mots: Approche cognitive. Bruxelles: De Boeck, 2002.

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Book chapters on the topic "Cognitive ability"

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Ones, Deniz S., Stephan Dilchert, Chockalingam Viswesvaran, and Jesús F. Salgado. "Cognitive Ability." In Handbook of Employee Selection, 251–76. Second edition. | New York, NY : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315690193-11.

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Dickens, William T. "Cognitive Ability." In The New Palgrave Dictionary of Economics, 1757–62. London: Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-349-95189-5_2810.

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Dickens, William T. "Cognitive Ability." In The New Palgrave Dictionary of Economics, 1–7. London: Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/978-1-349-95121-5_2810-1.

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Plomin, Robert. "General cognitive ability." In Behavioral genetics in the postgenomic era., 183–201. Washington: American Psychological Association, 2003. http://dx.doi.org/10.1037/10480-011.

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Cawley, John, Karen Conneely, James Heckman, and Edward Vytlacil. "Cognitive Ability, Wages, and Meritocracy." In Intelligence, Genes, and Success, 179–92. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-0669-9_8.

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Plomin, Robert, and Lee Ann Thompson. "Genetics and High Cognitive Ability." In Ciba Foundation Symposium 178 - The Origins and Development of High Ability, 67–84. Chichester, UK: John Wiley & Sons, Ltd., 2007. http://dx.doi.org/10.1002/9780470514498.ch5.

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Shinomoto, Shigeru. "A Memory with Cognitive Ability." In Dynamic Interactions in Neural Networks: Models and Data, 73–86. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-4536-0_5.

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Schantz, Stacy L., and Warren S. Brown. "P300 Latency and Cognitive Ability." In Clinical Perspectives in the Management of Down Syndrome, 139–46. New York, NY: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-9644-4_11.

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Thornhill, Randy, and Corey L. Fincher. "Economics, Values, and Cognitive Ability." In The Parasite-Stress Theory of Values and Sociality, 303–31. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08040-6_11.

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Vernon, Philip A. "Individual Differences in General Cognitive Ability." In The Neuropsychology of Individual Differences, 125–50. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4899-3484-0_6.

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Conference papers on the topic "Cognitive ability"

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Xu, Minyu, and Jun Shen. "Cognitive Ability Evaluation Model for Network Teaching." In the 2019 4th International Conference. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3335484.3335504.

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Gordon, Mitchell L., Leon Gatys, Carlos Guestrin, Jeffrey P. Bigham, Andrew Trister, and Kayur Patel. "App Usage Predicts Cognitive Ability in Older Adults." In CHI '19: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3290605.3300398.

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Patel, Valay, Ritika Jain, and Uttama Lahiri. "Eye movement as a predictor of cognitive ability." In 2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT). IEEE, 2017. http://dx.doi.org/10.1109/icccnt.2017.8204140.

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Abdullahi, Aisha Muhammad, Rita Orji, and Joshua C. Nwokeji. "Personalizing Persuasive Educational Technologies to Learners’ Cognitive Ability." In 2018 IEEE Frontiers in Education Conference (FIE). IEEE, 2018. http://dx.doi.org/10.1109/fie.2018.8658733.

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Zhang, Hanlin, Xinming Wang, Weihong Ren, Yuchen Zhao, Qingcai Chen, Jingyong Su, Junjie Chen, and Honghai Liu. "Gaze-driven Interaction System for Cognitive Ability Assessment." In 2021 11th International Conference on Intelligent Control and Information Processing (ICICIP). IEEE, 2021. http://dx.doi.org/10.1109/icicip53388.2021.9642161.

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Macik, Miroslav. "Context model for ability-based automatic UI generation." In 2012 IEEE 3rd International Conference on Cognitive Infocommunications (CogInfoCom). IEEE, 2012. http://dx.doi.org/10.1109/coginfocom.2012.6421947.

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Vinter, Kati. "Associations Between Academic Burnout And Social-Cognitive Factors: Does General Cognitive Ability Matter?" In ICEEPSY 2019 - 10th International Conference on Education and Educational Psychology. Cognitive-Crcs, 2019. http://dx.doi.org/10.15405/epsbs.2019.11.5.

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Guzsvinecz, Tibor, Monika Szeles, Erika Perge, and Cecilia Sik-Lanyi. "Preparing spatial ability tests in a virtual reality application." In 2019 10th IEEE International Conference on Cognitive Infocommunications (CogInfoCom). IEEE, 2019. http://dx.doi.org/10.1109/coginfocom47531.2019.9089919.

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Bae, Seongkyung. "Neuroimaging and Study Paradigms to Measure Infant Cognitive Ability." In World Conference on Social Sciences. Acavent, 2019. http://dx.doi.org/10.33422/worldcss.2019.09.546.

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Liu, Yisi, Salem Chandrasekaran Harihara Subramaniam, Olga Sourina, Eesha Shah, Joshua Chua, and Kirill Ivanov. "Neurofeedback Training for Rifle Shooters to Improve Cognitive Ability." In 2017 International Conference on Cyberworlds (CW). IEEE, 2017. http://dx.doi.org/10.1109/cw.2017.36.

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Reports on the topic "Cognitive ability"

1

Ree, Malcolm J., and Thomas R. Carretta. Tests of Cognitive Ability. Fort Belvoir, VA: Defense Technical Information Center, December 2005. http://dx.doi.org/10.21236/ada441398.

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Cawley, John, Karen Conneely, James Heckman, and Edward Vytlacil. Cognitive Ability, Wages, and Meritocracy. Cambridge, MA: National Bureau of Economic Research, July 1996. http://dx.doi.org/10.3386/w5645.

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Lee, Sokbae (Simon), Jungmin Lee, Byung-Yeon Kim, and Syngjoo Choi. Institutions, competitiveness and cognitive ability. The IFS, June 2020. http://dx.doi.org/10.1920/wp.cem.2020.3120.

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Schick, Andreas, and Richard Steckel. Height as a Proxy for Cognitive and Non-Cognitive Ability. Cambridge, MA: National Bureau of Economic Research, December 2010. http://dx.doi.org/10.3386/w16570.

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Kanfer, Ruth. Integrating Non-Ability and Cognitive Assessments: Selection and Classification. Fort Belvoir, VA: Defense Technical Information Center, June 2003. http://dx.doi.org/10.21236/ada415935.

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Ree, Malcolm J., and Thomas R. Carretta. Correlation of General Cognitive Ability and Psychomotor Tracking Tests. Fort Belvoir, VA: Defense Technical Information Center, August 1995. http://dx.doi.org/10.21236/ada297608.

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Bijwaard, Govert E., Mikko Myrskylä, Per Tynelius, and Finn Rasmussen. Education, cognitive ability and cause-specific mortality: a structural approach. Rostock: Max Planck Institute for Demographic Research, August 2016. http://dx.doi.org/10.4054/mpidr-wp-2016-007.

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Basu, Anirban, Andrew Jones, and Pedro Rosa Dias. The Roles of Cognitive and Non-Cognitive Skills in Moderating the Effects of Mixed-Ability Schools on Long-Term Health. Cambridge, MA: National Bureau of Economic Research, December 2014. http://dx.doi.org/10.3386/w20811.

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Stephens, Robert L. The Relationship Between Cognitive Ability and the Iconic Processing of Spatial and Identity Information. Fort Belvoir, VA: Defense Technical Information Center, February 1989. http://dx.doi.org/10.21236/ada208586.

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Kolk, Martin, and Kieron J. Barclay. Cognitive ability and fertility amongst Swedish men. Evidence from 18 cohorts of military conscription. Rostock: Max Planck Institute for Demographic Research, December 2017. http://dx.doi.org/10.4054/mpidr-wp-2017-020.

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